Highlight further documentation for users

Also explain origin of name.

README.md

@@ -6,7 +6,9 @@
 
 ![version](https://img.shields.io/badge/current_version-0.3.1-blue)
 
-Sequencing analysis pipeline (aqueduct) for validating plasmids and DNA assembly constructs, using long reads.
+Sequeduct (**seque**ncing aque**duct**) is a long read sequencing data analysis pipeline for validating plasmids and DNA assembly constructs.
+
+An example analysis and demonstration data are available at the [Sequeduct demo](https://github.com/Edinburgh-Genome-Foundry/Sequeduct_demo) site.
 
 ## Usage
 
@@ -58,7 +60,6 @@ docker pull ghcr.io/edinburgh-genome-foundry/sequeduct:v0.3.1
 
 Use `-profile docker` to use this image in the below commands, instead of `-with-docker sequeduct_local`.
 
-
 ### Run
 
 Create a directory for your project and copy (or link) the FASTQ directories from your Nanopore run (e.g. `fastq_pass`). Specify this together with a sample sheet in your commands:
@@ -92,7 +93,6 @@ The above commands each output a directory within a created `results` directory.
 
 A more detailed example and demonstration data are available at the [Sequeduct demo](https://github.com/Edinburgh-Genome-Foundry/Sequeduct_demo) site.
 
-
 ### Details
 
 For simplicity, the names in the sample sheet are used for finding the reference Genbank files, therefore sample names must match filenames with a ".gb" extension.
@@ -105,7 +105,6 @@ For convenience, a script is included to collect plot files from the result dire
 
 The pipeline was designed to work with data from one or more barcodes (FASTQ subdirectories). It has been tested on a desktop machine running Ubuntu 20.04.6 LTS (Memory: 15.5 GiB; CPU: Intel® Core™ i5-6500 CPU @ 3.20GHz × 4), and confirmed to work with up to 96 barcodes. The largest tested dataset was 1.5 GB Nanopore FASTQ data, resulting in 1.1 GB filtered data (100k filtered reads) with up to 55 MB individual filtered FASTQ files (i.e. per sample). If the dataset is much larger, then it may return an error at the variant call or another step. A recommended solution is to increase the quality cutoff (with parameter `--quality_cutoff`), and optionally the minimum length cutoff (`--min_length`), to work with fewer but better reads.
 
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 ## License = GPLv3+
 
 Copyright 2021 Edinburgh Genome Foundry, University of Edinburgh